How can a generative Bangla language model be developed?

We propose to build a Large Bangla Generative Model (LLM), a specialized AI system trained to mimic behaviors and understandings unique to the Bangladeshi context. This model, unlike general LLMs which may have cultural biases, will be fine-tuned with Bangla and Bangladeshi English data, ensuring local relevance. It will be designed to handle tasks like text classification, question answering, summarization, and generation in both Bangla and English, finding applications in government, healthcare, finance, and more. The project requires substantial infrastructure for training and deployment, aiming to support both business-to-business and consumer models, along with developing client applications for widespread service provision. This specialized AI system will be capable of performing a variety of tasks, such as sorting text, answering questions, summarizing information, and creating text in both Bangla and English. Its uses span across several sectors, including government services, healthcare, finance, and many others, offering tailored support that understands local needs and languages. However, building such a model is no small feat. It requires a robust infrastructure for both the training phase and when it goes live, to ensure it can handle the workload and provide accurate, helpful responses. This project isn’t just about creating the AI but also about setting up the systems that can train it effectively and deploying it in a way that businesses and individual consumers can easily access and benefit from. Additionally, we’ll need to develop applications through which clients can interact with the model, bringing this powerful tool directly into their daily operations and lives. This ambitious project has the potential to revolutionize how AI and language models are used in Bangladesh, providing services that are truly made for and by Bangladeshis.